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Part of the data ring
NameCurve
Given to both sexes · 13,756 recorded births

Tayler

#5,722 in the US in 2025

#5,722US rank, 2025 (girls)
21US births in 2025
#306its best US rank, in 1993
1993peak year — 871 births
11,169US births since 1978
Saved in this browser only — no account, nothing sent anywhere.

Tayler in the United States

0.0244818801900192019401960198020002020
Births per 100,000 of that sex, so eras compare fairly. Tayler in the United States, 1880–2025
girlsboys

Between 2016 and 2025 the name has been falling — down 69% as a share of girls' births.

Tayler is given to both sexes: 11,169 female and 2,587 male births on record. The two curves rarely move together, which is why they are drawn separately rather than summed.

SOURCE·US Social Security Administration, national baby-name data·Public domain. SSA lists a name only if it was given to at least 5 babies of that sex that year.·REVIEWED JUL 2026

Tayler in New Zealand

Tayler never reached 10 births in a single year in New Zealand, so it does not appear in the DIA file. That is a reporting floor, not a zero — the name may still have been registered here, just never ten times in one year.

SOURCE·NZ Department of Internal Affairs, births by first name·CC BY 4.0. DIA lists a name only if it was given to at least 10 babies of that sex that year.·REVIEWED JUL 2026

Decade by decade in the US

YearRankBirths
1980below floor
1990#707296
2000#515512
2010#1,450156
2020#4,75727

Where in the United States

The states that registered Tayler most often since 1978. These are lifetime totals, so they track state population as much as local taste — a name common in Wyoming will never out-count California.

How these figures are worked out

  1. Counts come straight from the registrars: the US Social Security Administration (1880–2025) and the New Zealand Department of Internal Affairs (1900–2025). Nothing is scraped from another names site.
  2. Ranks are computed against every name in that year's file, not just the ones this site publishes pages for — otherwise a rank would flatter every name we happen to list.
  3. The curve is drawn on births per 100,000 of that sex, not raw counts. Raw counts across eras are misleading: far more births were registered in 1957 than in 1890, so a flat count is a falling share.
  4. Each country hides small numbers — the US below 5 births a year, New Zealand below 10. A gap in a line is "below the floor", never "nobody".

Full methodology →

SOURCE·US SSA (1880–2025) + NZ DIA (1900–2025) birth registrations·ranks and shares computed from the source files, see method·REVIEWED JUL 2026

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Amit Sharma

Auckland real-estate agent and marketer. Builds free, sourced data tools.